Brain mindfulness training device and method based on multi-point tactile stimulation and active feedback
This mindfulness training device, which utilizes multi-point tactile stimulation and active feedback, solves the problems of immediacy and applicability of existing devices by using tactile vibration signals and mobile terminal feedback mechanisms. It enables targeted training of brain functions and dynamic adjustment of difficulty, and is suitable for people with visual and hearing impairments and young children.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 戴浩
- Filing Date
- 2026-05-19
- Publication Date
- 2026-07-14
AI Technical Summary
Existing mindfulness meditation training equipment lacks immediate and proactive feedback and dynamic difficulty adjustment mechanisms, making it unsuitable for people with visual and hearing impairments and young children. Furthermore, traditional equipment relies on audiovisual channels, resulting in poor interactivity and an inability to quantify training effects.
The design employs multi-point tactile stimulation and active feedback. Through the tactile signal generation module, millisecond-level vibration signals are generated at different parts of the user's body. Combined with the spatial mapping and feedback mechanism of the mobile terminal, the user's active response and dynamic adjustment of training parameters are realized.
It enables targeted training of brain function, improves the immediacy and applicability of training effects, and is suitable for users with different ability levels, especially people with visual and hearing impairments and young children.
Smart Images
Figure CN122376950A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to mindfulness meditation techniques, specifically to a mindfulness training device and method for the brain based on multi-point tactile stimulation and active feedback. Background Technology
[0002] As neuroscience research continues to deepen, mindfulness meditation has been proven to be not only a psychological regulation method, but also a form of "brain training" that can induce structural changes in the brain. Existing neuroimaging studies (such as MRI scans) show that long-term mindfulness training can lead to substantial changes in the cerebral cortex, such as thickening of the prefrontal cortex (related to decision-making and attention), thickening of the hippocampus (related to memory), reduction in amygdala volume (related to anxiety and fear responses), and increased secretion of brain-derived neurotrophic factor (BDNF).
[0003] However, despite the increasingly solid scientific foundation of mindfulness meditation, existing technologies still face many limitations in their transformation into popular, precise, and universally applicable brain training tools. These limitations are mainly reflected in the following aspects:
[0004] Lack of Application Scenarios for Brain Training: Current mindfulness meditation products on the market mainly focus on stress reduction, rehabilitation, sleep assistance, and psychological counseling. Although their underlying mechanisms involve neuroplasticity of the brain, existing products do not directly translate these neuroscience findings into training tools for improving brain function. Current technology lacks targeted training designs for functional areas such as the prefrontal cortex and hippocampus, making it difficult for users to intuitively perceive the effects of mindfulness training on cognitive abilities such as logical thinking, reaction judgment, and memory.
[0005] The lack of immediate feedback mechanisms that directly affect the physiological level of the brain is a significant drawback: existing brain training or biofeedback devices largely rely on electroencephalography (EEG) detection. These technologies typically collect the user's brainwave signals, process them using algorithms, compare them with a standard database, and then provide feedback. This detection-comparison-feedback path is inherently delayed and is a passive monitoring method, not a direct physical stimulus to the brain. Furthermore, for beginners in mindfulness meditation, the lack of real-time, concrete feedback (such as "Are you in the correct meditative state?") makes it difficult to quantify and maintain the training effect.
[0006] Traditional guided meditation methods rely on audiovisual senses and have poor interactivity: Currently, mainstream mindfulness meditation apps or courses mainly rely on voice guidance (auditory) or animated demonstrations (visual). This one-way output guided method has the following problems:
[0007] Unknowable state: When users close their eyes to meditate, they cannot know whether they have truly achieved a state of focus on the present moment;
[0008] Maintaining attention is difficult: Without external constraints, users' attention is easily distracted and difficult to detect and correct in a timely manner.
[0009] Weak immersion: Voice guidance often interrupts the user's silent state, which is not conducive to deep focus.
[0010] Limited Applicability: Existing mindfulness training products require a high degree of user cooperation. Traditional audiovisual guidance methods are almost unusable for specific groups, such as young children, the elderly, individuals with visual or hearing impairments, and patients with poor cooperation due to illness. This results in those who most need brain function rehabilitation and training being excluded from the benefits of this technology.
[0011] To address some of the aforementioned issues, existing technologies have incorporated feedback mechanisms. For example:
[0012] 1) Patent application CN107890349A discloses a mindfulness training system based on real-time EEG feedback. In this patent application, an EEG signal acquisition module is placed on the human brain, connected to a mindfulness brainwave model, which in turn is connected to a judgment and control module, which is connected to a user terminal. The EEG signal acquisition module consists of dry electrodes, a preamplifier module, a signal filtering module, an A / D data sampling module, and a controller. Several preamplifier modules are connected to the dry electrodes, each of which is sequentially connected to a signal filtering module and an A / D data sampling module. The A / D data sampling modules are connected to the controller. This system provides real-time feedback on the trainee's mindfulness training progress, offering more reliable and effective guidance for mindfulness training, balancing and improving the user's EEG state, and helping people overcome depression and negative emotional states, thus maintaining physical and mental health.
[0013] 2) Publication No. CN121648423A discloses a personalized mindfulness training system and method based on inspiratory initiation and attention reversal prompts. This patent application includes four core modules: a scheme configuration and calibration module, a breathing data acquisition module, a core data processing module, and a human-computer interaction and feedback module. With inspiratory initiation and attention reversal prompts as the dual cores, it integrates personalized breathing data, breathing visualization, and scenario-based parameter adaptation functions. It designs four scenario-based training schemes: pre-sleep relaxation and sleep aid, mindfulness breathing calibration training, mindfulness immersion meditation, and focus training, achieving low-burden, personalized mindfulness training tailored to different time periods and needs. This invention solves the technical problems of traditional mindfulness training devices, such as forced guidance, anxiety during synchronization, lack of status monitoring, limited interaction, and insufficient scenario adaptability.
[0014] However, while the aforementioned existing technologies have enriched the feedback methods for mindfulness training to some extent, they have not fundamentally solved the problems mentioned above and still have the following drawbacks:
[0015] First, the EEG feedback scheme represented by CN107890349A is essentially still a passive monitoring rather than an active intervention. EEG signal acquisition requires complex head-mounted devices, which are not only cumbersome and uncomfortable to wear, but also highly susceptible to environmental electromagnetic interference and user electromyographic noise, leading to signal instability. More importantly, its feedback logic relies on post-hoc comparisons of brainwave states using algorithms, lacking direct physical stimulation of the brain. This prevents the formation of a closed-loop training path of stimulus-perception-response, limiting its effectiveness in improving the user's somatic perception and motor response agility.
[0016] Secondly, although CN121648423A incorporates breathing rhythm and contextual adaptation, its core interaction methods still heavily rely on visual and auditory channels. This means that the solution is unsuitable for users with visual or auditory impairments, users in noisy environments, or those requiring deep silent meditation. Furthermore, the solution focuses on following breathing rhythms and lacks direct targeted training of the prefrontal-parietal network of the brain, making it difficult to effectively quantify and assess a user's ability to discern subtle bodily sensations and their reaction speed.
[0017] Finally, neither of the above two approaches achieved millisecond-level dynamic closed-loop control of training difficulty. Existing technologies often employ preset, fixed procedures, failing to adjust stimulus parameters in real time based on the user's performance during training (such as reaction delay or decreased accuracy). This results in a mismatch between training intensity and the user's current ability; the training is either too easy, rendering it meaningless, or too difficult, causing user frustration and abandonment.
[0018] In summary, the existing technology lacks a brain mindfulness training system that can directly provide millisecond-level instantaneous active feedback based on bodily perception and can quantitatively assess the training effect, especially lacking a universal solution that can be adapted to young children and people with visual / hearing impairments. Summary of the Invention
[0019] The purpose of this invention is to provide a brain mindfulness training device and method based on multi-point tactile stimulation and active feedback, in order to solve the problems of existing technologies lacking immediate active feedback, dynamic difficulty adjustment mechanisms, and being unable to adapt to people with visual and auditory impairments and young children.
[0020] To achieve the above objectives, the present invention provides the following technical solution: a brain mindfulness training device based on multi-point tactile stimulation and active feedback, comprising:
[0021] Multiple tactile signal generating modules are worn on different parts of the user's body. Each tactile signal generating module has a unique visual identifier and is configured to receive control signals to generate tactile vibration signals with a duration of milliseconds.
[0022] A mobile terminal, wirelessly connected to multiple tactile signal generating modules, includes:
[0023] The configuration unit is used to automatically identify and connect each tactile signal generating module to obtain the visual identifier of each tactile signal generating module, and to establish and store the spatial mapping relationship between each module and the user's body parts based on the visual identifier.
[0024] The stimulation control unit is used to selectively send control signals to one or more target tactile signal generation modules according to a preset or dynamically adjusted training program.
[0025] The feedback receiving unit is used to receive the active touch response made by the user through the virtual button corresponding to the visual symbol on the mobile terminal interface after the control signal is issued, and to determine whether the response matches the body part corresponding to the tactile signal generating module that emits vibration based on the spatial mapping relationship.
[0026] The data recording unit is used to record the correctness of each response and the reaction time from the issuance of the control signal to the receipt of the active touch response;
[0027] The training adjustment unit is used to calculate a training score based on the accuracy and reaction time recorded in at least one training cycle, and to dynamically adjust the subsequent training program parameters of the stimulus control unit based on the training score.
[0028] Furthermore, the visual identifiers include text identifiers or color-coded layers. The configuration unit is also used to: after establishing the spatial mapping relationship, perform vibration tests to verify the mapping accuracy between each tactile signal generating module and the corresponding virtual buttons on the mobile terminal interface, and provide a visual editing interface for users to manually adjust the spatial mapping relationship.
[0029] Furthermore, the tactile signal generation module is a linear resonant motor with a vibration frequency range of 10 to 200 Hz, and the duration of the tactile vibration signal with a millisecond duration is 75 to 250 ms.
[0030] Furthermore, the parameters of the training scheme include one or more of the following:
[0031] The duration of a single tactile vibration signal;
[0032] The time interval between two consecutive tactile vibration signals;
[0033] The number and spatial distribution pattern of tactile signal generating modules activated simultaneously in a single stimulus, including single-point pattern, multi-point sequential activation pattern, and multi-point random activation pattern;
[0034] The level of nerve distribution density of the body parts corresponding to each tactile signal generation module.
[0035] Furthermore, the training adjustment unit calculates the training score. The calculation formula is:
[0036]
[0037] In the formula, This represents the average accuracy during the current training period. This represents the average reaction time during the current training cycle. This represents the maximum reaction time within the current training cycle. This is the minimum reaction time within the current training cycle.
[0038] Furthermore, the training adjustment unit is also used to: store and analyze training scores, accuracy, and reaction time from multiple training cycles, and generate a user ability development trend report, which includes user ability such as reaction speed, accuracy, perseverance, and resistance to interference.
[0039] A mindfulness training method based on multi-point tactile stimulation and active feedback, applied to the aforementioned device, includes the following steps:
[0040] S1: Module Wearing and Spatial Mapping Establishment: Multiple tactile signal generating modules with unique visual identifiers are worn on different parts of the user's body. The mobile terminal automatically identifies and connects each module, obtains the visual identifier of each module, and establishes and stores the spatial mapping relationship between each module and the body part based on the visual identifier.
[0041] S2: Tactile vibration signal generation: According to a preset or dynamically adjusted training program, control signals are selectively sent to one or more target tactile signal generation modules to control the target tactile signal generation modules to generate tactile vibration signals with a duration of milliseconds;
[0042] S3: User-initiated touch response and matching judgment: After the user senses the vibration signal of the body part, he / she clicks the virtual button on the mobile terminal interface that corresponds to the visual identifier of the sensed vibration module; the mobile terminal receives the touch response and determines whether the response matches the module that emitted the vibration based on the spatial mapping relationship.
[0043] S4: Response Correctness and Reaction Time Recording: Record the correctness of this response and the reaction time from the issuance of the control signal to the receipt of the touch response;
[0044] S5: Training score calculation and dynamic parameter adjustment: Repeat the tactile vibration signal generation step to the response correctness and reaction time recording step at least once to constitute a training cycle; calculate the training score based on the accuracy and reaction time recorded in the training cycle, and dynamically adjust the training program parameters in subsequent training cycles based on the training score.
[0045] Furthermore, the module wearing and spatial mapping establishment also includes: after establishing the spatial mapping relationship, performing a vibration test to verify the mapping accuracy between each tactile signal generating module and the corresponding virtual buttons on the mobile terminal interface, and allowing users to manually adjust or confirm the spatial mapping relationship through a visual editing interface.
[0046] Furthermore, dynamically adjusting training scheme parameters in S5 includes adjusting one or more of the following methods:
[0047] Adjust the duration of the tactile vibration signal;
[0048] Adjust the interval between two consecutive tactile vibration signals;
[0049] Adjust the number and spatial distribution pattern of tactile signal generating modules activated simultaneously in a single stimulus, and switch between sequential mode, random mode, single-point mode or multi-point mode;
[0050] Based on the improvement of the user's training score, the module will gradually switch from the module corresponding to the densely distributed neural network to the module corresponding to the relatively sparsely distributed neural network.
[0051] Furthermore, the duration of a single consecutive training cycle is at least 15 minutes.
[0052] Furthermore, after S5 is completed, it also includes: long-term storage and analysis of the recorded data from multiple training cycles, generating and presenting a report on the user's ability development trend in mindfulness training.
[0053] Compared with existing technologies, the mindfulness training device and method based on multi-point tactile stimulation and active feedback provided by this invention constructs a direct training path of somatic stimulation-conscious perception-behavioral feedback through a two-way closed-loop design of millisecond-level multi-point tactile signal guidance and user active touch response. In terms of targeted training of brain function, it breaks through the limitations of traditional audiovisual guidance and passive EEG monitoring, and realizes direct physical activation and concentration enhancement of the prefrontal cortex and somatic sensory cortex. In terms of universality, it eliminates the dependence on visual and auditory channels, enabling special groups such as visually impaired, hearing impaired and young children to participate without barriers. The dynamic adjustment mechanism ensures that the training difficulty is always adapted to the user's real-time ability, which greatly improves the effectiveness and applicability of the training. Attached Figure Description
[0054] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.
[0055] Figure 1 This is an overall runtime sequence diagram of Embodiment 1 of the present invention;
[0056] Figure 2 This is a schematic diagram of the modules of the mobile terminal in Embodiment 1 of the present invention;
[0057] Figure 3 This is a schematic diagram illustrating the application of the present invention.
[0058] Explanation of reference numerals in the attached figures:
[0059] 1. Tactile signal generation module; 2. Mobile terminal. Detailed Implementation
[0060] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.
[0061] As attached Figure 1 To be continued Figure 2 As shown:
[0062] Example 1:
[0063] The present invention provides a mindfulness training device for the brain based on multi-point tactile stimulation and active feedback, including multiple tactile signal generation modules 1 and a mobile terminal 2.
[0064] 1. In one embodiment of the present invention, multiple tactile signal generating modules 1 are worn on different parts of the user's body. Each tactile signal generating module 1 has a unique visual identifier (including text identifier or color coding layer) and is configured to receive control signals to generate tactile vibration signals with a duration of milliseconds. The tactile signal generating module 1 is a linear resonant motor with a vibration frequency range of 10 to 200 Hz and a duration of 75 to 250 ms for the tactile vibration signal with a duration of milliseconds.
[0065] 2. In one embodiment of the present invention, the mobile terminal 2 is wirelessly connected to multiple tactile signal generating modules 1, and the mobile terminal 2 includes:
[0066] The configuration unit is used to automatically identify and connect each tactile signal generating module 1 to obtain the visual identifier of each tactile signal generating module 1, and to establish and store the spatial mapping relationship between each module and the user's body parts based on the visual identifier.
[0067] The configuration unit is also used to: after establishing the spatial mapping relationship, perform a vibration test to verify the mapping accuracy between each tactile signal generation module 1 and the corresponding virtual buttons on the mobile terminal 2 interface, and provide a visual editing interface for users to manually adjust the spatial mapping relationship;
[0068] The stimulation control unit is used to selectively send control signals to one or more target tactile signal generation modules 1 according to a preset or dynamically adjusted training program;
[0069] The feedback receiving unit is used to receive the active touch response made by the user through the virtual button corresponding to the visual symbol on the interface of the mobile terminal 2 after the control signal is issued, and to determine whether the response matches the body part corresponding to the tactile signal generating module 1 that emits vibration based on the spatial mapping relationship.
[0070] The data recording unit is used to record the correctness of each response and the reaction time from the issuance of the control signal to the receipt of the active touch response;
[0071] The training adjustment unit is used to calculate a training score based on the accuracy and reaction time recorded in at least one training cycle, and to dynamically adjust the subsequent training program parameters of the stimulus control unit based on the training score.
[0072] Working Principle: Example 1 constructs a direct brain training path independent of visual and auditory dependence through a two-way closed-loop mechanism of guided somatic tactile signals and active feedback from the mobile terminal 2. Specifically, the system uses millisecond-level tactile vibrations to forcibly attract the user's attention back to bodily sensations and requires the user to make an instant and accurate touch response on the terminal. This strong coupling design of stimulus-perception-response directly enhances the brain's ability to locate bodily positions and its reaction speed, solving the problems of unknowable and difficult-to-maintain states in traditional mindfulness training.
[0073] Example 2:
[0074] This embodiment is basically the same as the previous embodiment, except that the parameters of the training scheme include one or more of the following:
[0075] The duration of a single tactile vibration signal;
[0076] The time interval between two consecutive tactile vibration signals;
[0077] The number and spatial distribution pattern of tactile signal generation modules 1 activated simultaneously in a single stimulus, including single-point mode, multi-point sequential activation mode, and multi-point random activation mode.
[0078] The level of nerve distribution density of the body parts corresponding to each tactile signal generation module 1.
[0079] 1. In one embodiment of the present invention, the training adjustment unit calculates the training score. The calculation formula is:
[0080]
[0081] In the formula, This represents the average accuracy during the current training period. This represents the average reaction time during the current training cycle. This represents the maximum reaction time within the current training cycle. This is the minimum reaction time within the current training cycle.
[0082] 2. In one embodiment of the present invention, the training adjustment unit is further configured to: store and analyze the training scores, accuracy and reaction time of multiple training cycles, and generate a user ability development trend report, wherein the user ability includes reaction speed, accuracy, perseverance and anti-interference ability.
[0083] Working Principle: Example 1, using a preset scheme with fixed parameters, struggles to adapt to the varying initial abilities of different users and the fatigue effect during training, easily leading to a mismatch between training intensity and actual ability (too easy or too difficult). Therefore, Example 2 introduces a dynamic parameter adjustment mechanism based on weighted scoring, building upon Example 1. By quantitatively evaluating the user's accuracy and reaction time, the system can intelligently shorten the stimulus interval, increase multi-point random stimulation, or switch to sparsely distributed neural regions, ensuring that the training difficulty remains within the user's zone of proximal development, thereby achieving continuous optimization and long-term tracking of training effects.
[0084] As attached Figure 1 Appendix Figure 3 As shown:
[0085] A mindfulness training method based on multi-point tactile stimulation and active feedback, applied to the devices in Embodiments 1 and 2 above, includes the following steps:
[0086] S1: Module Wearing and Spatial Mapping Establishment: Multiple tactile signal generating modules 1 with unique visual identifiers are worn on different parts of the user's body. The mobile terminal 2 automatically identifies and connects each module, obtains the visual identifiers of each module, and establishes and stores the spatial mapping relationship between each module and the body part based on the visual identifiers.
[0087] S2: Tactile vibration signal generation: According to a preset or dynamically adjusted training program, control signals are selectively sent to one or more target tactile signal generation modules 1 to control the target tactile signal generation modules 1 to generate tactile vibration signals with a duration of milliseconds.
[0088] S3: User-initiated touch response and matching judgment: After the user senses the vibration signal of the body part, he clicks the virtual button on the interface of the mobile terminal 2 that corresponds to the visual symbol of the sensed vibration module; the mobile terminal 2 receives the touch response and determines whether the response matches the module that emitted the vibration based on the spatial mapping relationship.
[0089] S4: Response Correctness and Reaction Time Recording: Record the correctness of this response and the reaction time from the issuance of the control signal to the receipt of the touch response;
[0090] S5: Training score calculation and dynamic parameter adjustment: Repeat the tactile vibration signal generation step to the response correctness and reaction time recording step at least once to constitute a training cycle; calculate the training score based on the accuracy and reaction time recorded in the training cycle, and dynamically adjust the training program parameters in subsequent training cycles based on the training score;
[0091] After S5 is completed, it also includes: long-term storage and analysis of the recorded data from multiple training cycles, generating and presenting a report on the user's ability development trend in mindfulness training.
[0092] 1. In one embodiment of the present invention, the module wearing and spatial mapping establishment further includes: after establishing the spatial mapping relationship, performing a vibration test to verify the mapping accuracy between each tactile signal generating module 1 and the corresponding virtual button on the interface of the mobile terminal 2, and allowing users to manually adjust or confirm the spatial mapping relationship through a visual editing interface.
[0093] 2. In one embodiment of the present invention, dynamically adjusting the training scheme parameters in S5 includes adjusting one or more of the following methods:
[0094] Adjust the duration of the tactile vibration signal;
[0095] Adjust the interval between two consecutive tactile vibration signals;
[0096] Adjust the number and spatial distribution pattern of tactile signal generation modules 1 that are activated simultaneously in a single stimulus, and switch between sequential mode, random mode, single-point mode or multi-point mode;
[0097] Based on the improvement of the user's training score, the module will gradually switch from the module corresponding to the densely distributed neural network to the module corresponding to the relatively sparsely distributed neural network.
[0098] 3. In one embodiment of the present invention, the duration of a single continuous training cycle is at least 15 minutes.
[0099] It should be noted that all parameter thresholds (such as vibration duration of 75-250ms and training cycle of at least 15 minutes) and weight coefficients (such as the ratio of 0.65 to 0.35 in the training scoring formula) involved in the embodiments of the present invention are preferred solutions derived by the inventors based on a large amount of experimental data, aiming to balance the efficiency of brain neural activation and the cognitive load of users. Those skilled in the art should understand that the above specific values can be adaptively adjusted within a reasonable range according to the actual application scenario without departing from the core concept of the present invention.
[0100] To enable those skilled in the art to more intuitively understand the technical effects of the present invention, the following description is provided in conjunction with specific application examples:
[0101] As attached Figure 3 The diagram illustrates a typical application scenario of the present invention. A user wears the tactile signal generating module 1 provided by the present invention on their left wrist. A mobile terminal 2 establishes a connection with the module 1 via wireless communication. The interface of the mobile terminal 2 displays virtual buttons corresponding to the visual identifiers (such as colors and text) of the tactile signal generating module 1, and presents training data in real time.
[0102] Training Process and Data Interpretation: The user initiates a training session. In this training, the configuration unit of mobile terminal 2 successfully identified and recorded the body part (left wrist) worn by module 1 and its corresponding virtual buttons, establishing an accurate spatial mapping relationship.
[0103] Training Initiation: The stimulus control unit selected "single-point random activation mode" as the initiation scheme for this training session based on the user's preset training level. The training duration is 1 minute and 8 seconds.
[0104] Signal generation and response: During the training process, the system sent 13 control signals to the tactile signal generation module 1 (i.e., the device on the user's left wrist). Each control signal drove the module to generate a tactile vibration lasting 150ms.
[0105] Active feedback and recording: Each time the user senses a vibration at their wrist, they must immediately tap the corresponding virtual button on their left wrist on the interface of mobile terminal 2. The feedback receiving unit receives this response and determines whether it matches the module that emitted the vibration signal. The data recording unit accurately records whether each tap is correct and the reaction time from vibration trigger to user tap.
[0106] Results Analysis: After training, the system generated a detailed report of this training session, including:
[0107] Test results: A total of 13 clicks were made, with 11 correct clicks and 2 incorrect clicks, resulting in an accuracy rate of 85%. This reflects that the user can accurately locate and respond to tactile stimuli.
[0108] Reaction Time: In this training session, the longest reaction time was 26493ms, the shortest was 1201ms, and the average was 1630ms. The significant difference between the longest and shortest reaction times may reflect the user's state at the beginning of training or during periods of fluctuating attention. However, the average reaction time remained stable at around 1.6 seconds, indicating that the user's average reaction speed was at a good level.
[0109] Dynamic scoring and adjustment: Training and adjustment units are based on the formula Substituting the data from this training cycle into the calculation, the weighted score for this training session is 89.7. This score combines an 85% accuracy rate and a relatively good average reaction time, evaluating the user's overall performance.
[0110] Dynamic Difficulty Adjustment: Based on the current training score (89.7 points, indicating that the user's current training difficulty is moderate but slightly challenging), the training adjustment unit will dynamically adjust the training program parameters in the next training session. For example, it may shorten the interval between two vibrations to increase the challenge of maintaining focus; or, while maintaining a high accuracy rate, it may gradually introduce a two-point sequential activation mode, that is, continuously vibrating modules at two different locations on the body, requiring the user to click in sequence, to enhance the brain's mindfulness ability to process complex spatial information.
[0111] It should be noted that the mobile terminal 2 mentioned in this invention refers to a computing device with wireless communication capabilities, a touch interface, and data processing functions, including but not limited to smartphones, tablets, laptops, computers, smart wearable devices, or other terminal devices capable of running mindfulness training applications.
[0112] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.
Claims
1. A brain mindfulness training device based on multi-point tactile stimulation and active feedback, characterized in that, include: Multiple tactile signal generating modules (1) are worn on different parts of the user's body. Each tactile signal generating module (1) has a unique visual identifier and is configured to receive control signals to generate tactile vibration signals with a duration of milliseconds. Mobile terminal (2) is wirelessly connected to multiple tactile signal generating modules (1). Mobile terminal (2) includes: The configuration unit is used to automatically identify and connect each tactile signal generating module (1) to obtain the visual identifier of each tactile signal generating module (1), and establish and store the spatial mapping relationship between each module and the user's body parts based on the visual identifier; Stimulation control unit, used to selectively send control signals to one or more target tactile signal generation modules (1) according to a preset or dynamically adjusted training program; The feedback receiving unit is used to receive the active touch response made by the user through the virtual button corresponding to the visual symbol on the interface of the mobile terminal (2) after the control signal is issued, and to determine whether the response matches the body part corresponding to the tactile signal generating module (1) that emits vibration based on the spatial mapping relationship. The data recording unit is used to record the correctness of each response and the reaction time from the issuance of the control signal to the receipt of the active touch response; The training adjustment unit is used to calculate a training score based on the accuracy and reaction time recorded in at least one training cycle, and to dynamically adjust the subsequent training program parameters of the stimulus control unit based on the training score.
2. The brain mindfulness training device based on multi-point tactile stimulation and active feedback according to claim 1, characterized in that, The visual identifier includes a text identifier or a color coding layer. The configuration unit is also used to: after establishing the spatial mapping relationship, perform a vibration test to verify the mapping accuracy between each tactile signal generation module (1) and the corresponding virtual button on the interface of the mobile terminal (2), and provide a visual editing interface for users to manually adjust the spatial mapping relationship.
3. The brain mindfulness training device based on multi-point tactile stimulation and active feedback according to claim 1, characterized in that, The tactile signal generating module (1) is a linear resonant motor with a vibration frequency range of 10 to 200 Hz and a tactile vibration signal with a duration of 75 to 250 ms.
4. The brain mindfulness training device based on multi-point tactile stimulation and active feedback according to claim 1, characterized in that, The parameters of the training scheme include one or more of the following: The duration of a single tactile vibration signal; The time interval between two consecutive tactile vibration signals; The number and spatial distribution pattern of tactile signal generation modules (1) activated simultaneously in a single stimulus, including single-point mode, multi-point sequential activation mode, and multi-point random activation mode; The level of nerve distribution density of the body part corresponding to each tactile signal generation module (1).
5. The brain mindfulness training device based on multi-point tactile stimulation and active feedback according to claim 1, characterized in that, The training adjustment unit calculates the training score. The calculation formula is: In the formula, This represents the average accuracy during the current training period. This represents the average reaction time during the current training cycle. This represents the maximum reaction time within the current training cycle. This is the minimum reaction time within the current training cycle.
6. The brain mindfulness training device based on multi-point tactile stimulation and active feedback according to claim 5, characterized in that, The training adjustment unit is also used to: store and analyze the training scores, accuracy and reaction time of multiple training cycles, and generate a user ability development trend report, wherein user ability includes reaction speed, accuracy, perseverance and anti-interference ability.
7. A brain mindfulness training method based on multi-point tactile stimulation and active feedback, applied to the device described in any one of claims 1-6, characterized in that, Includes the following steps: S1: Module wearing and spatial mapping establishment: Multiple tactile signal generating modules (1) with unique visual identifiers are worn on different parts of the user's body. The mobile terminal (2) automatically identifies and connects each module, obtains the visual identifiers of each module, and establishes and stores the spatial mapping relationship between each module and the body part based on the visual identifiers. S2: Tactile vibration signal generation: According to a preset or dynamically adjusted training scheme, a control signal is selectively sent to one or more target tactile signal generation modules (1) to control the target tactile signal generation modules (1) to generate tactile vibration signals with a duration of milliseconds; S3: User active touch response and matching judgment: After the user senses the vibration signal of the body part, he clicks the virtual button on the interface of the mobile terminal (2) that corresponds to the visual mark of the perceived vibration module; the mobile terminal (2) receives the touch response and judges whether the response matches the module that emitted the vibration based on the spatial mapping relationship. S4: Response Correctness and Reaction Time Recording: Record the correctness of this response and the reaction time from the issuance of the control signal to the receipt of the touch response; S5: Training score calculation and dynamic parameter adjustment: Repeat the tactile vibration signal generation step to the response correctness and reaction time recording step at least once to constitute a training cycle; calculate the training score based on the accuracy and reaction time recorded in the training cycle, and dynamically adjust the training scheme parameters in subsequent training cycles based on the training score.
8. The brain mindfulness training method based on multi-point tactile stimulation and active feedback according to claim 7, characterized in that, The module wearing and spatial mapping establishment in S1 also includes: after establishing the spatial mapping relationship, performing a vibration test to verify the mapping accuracy between each tactile signal generation module (1) and the corresponding virtual button on the mobile terminal (2) interface, and allowing users to manually adjust or confirm the spatial mapping relationship through a visual editing interface.
9. The brain mindfulness training method based on multi-point tactile stimulation and active feedback according to claim 7, characterized in that, The dynamic adjustment of training scheme parameters in S5 includes adjusting one or more of the following methods: Adjust the duration of the tactile vibration signal; Adjust the interval between two consecutive tactile vibration signals; Adjust the number and spatial distribution pattern of the tactile signal generation modules (1) activated simultaneously in a single stimulus, and switch between sequential mode, random mode, single-point mode or multi-point mode; Based on the improvement of the user's training score, the module will gradually switch from the module corresponding to the densely distributed neural network to the module corresponding to the relatively sparsely distributed neural network.
10. The brain mindfulness training method based on multi-point tactile stimulation and active feedback according to claim 7, characterized in that, After S5 is completed, it also includes: long-term storage and analysis of the recorded data from multiple training cycles, generating and presenting a report on the user's ability development trend in mindfulness training.